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Infrastructure

Observe hosts, containers, networks, and cloud resources in one place to diagnose health and performance issues faster.

Infrastructure Monitoring Monitor hosts, containers, processes, and cloud resources together
Database Monitoring Analyze slow queries, lock waits, and SQL performance
Container Monitoring Track Pods, containers, and workload health
Network Performance Monitoring Identify network paths, quality, and connectivity issues
Network Device Monitoring Monitor switches, routers, and other network devices
Cloud and Multi-Cloud Monitoring Collect resource metrics, events, and service telemetry across clouds
Cloud Cost Management Analyze cloud cost, usage, and trends in one place
Unified Catalog Map services, hosts, and business assets in a shared catalog

Logs

Collect, query, govern, and analyze logs so teams can find answers faster at scale.

Log Monitoring and Analytics Search, aggregate, alert on, and correlate logs with traces
Log Management Manage log collection, storage, governance, and retention centrally
Sensitive Data Scanner Detect sensitive data and risk in logs
Pipeline Data Processing Parse, transform, and route log data

Applications

Continuously identify service bottlenecks and reliability risks across application performance, dependencies, and code.

Application Performance Monitoring Trace service performance, slow requests, errors, and dependencies
Continuous Profiling Continuously identify CPU, memory, and code-level hotspots

Digital Experience

Connect real user experience, session replay, and synthetic testing for a complete end-to-end view.

Real User Monitoring Reconstruct web performance, frontend errors, and user experience
Mobile App Monitoring Track startup time, freezes, and crashes across iOS and Android
Session Replay Replay user journeys to reproduce and diagnose issues
Synthetic and API Monitoring Proactively test APIs, websites, and service availability
Product Analytics Analyze journeys, retention, and critical user actions

Operations

Bring alerts, incidents, and investigations together so teams can respond and learn faster.

Event Management Centralize alerts and coordinate response
Intelligent Alerting Detect anomalous behavior with metrics and rules
Incident Management Manage incidents, ownership, and response workflows
SLO Management Manage reliability with SLIs, SLOs, and error budgets

Platform

Build a unified observability platform with visualization, access control, integrations, and open APIs.

Dashboards and Analytics Analyze metrics, logs, traces, and business data together
Guance Notebooks Preserve investigation knowledge and long-term AI context
Collaboration and Sharing Share views, snapshots, and investigation results across teams
Mobile App Review alerts and system health from anywhere
Enterprise Integrations Integrate identity, access controls, and enterprise systems
Technology Integrations Integrate cloud services and open-source technologies quickly
Access Control Control roles, permissions, and data scope with precision
DQL & API Extend the platform with DQL and APIs
GuanceDB A modern data lake and query engine for observability
Dedicated Compute Keep high-concurrency analysis stable with dedicated resources

Security

Correlate logs, events, and threat signals so security teams can detect risk and respond with context.

Security Information and Event Management (SIEM) Correlate security events, logs, and threat signals

AI

Give AI the production context it needs, while keeping every decision and action observable.

Guance AI Agent Teams Work continuously on complex production tasks, 24/7
AI Agent Observability Trace Agent workflows, tool calls, risk, and cost
LLM Observability Correlate model requests, tokens, cost, and quality signals
Obsy AI Copilot Turn observability data into an investigation copilot
OWL CLI Bring production diagnostics into the terminal
Guance MCP Server Bring production context into IDEs and AI tools

GuanceDB 3.1 Observability data infrastructure built for the AI era Learn more Dedicated Compute Dedicated resources keep high-concurrency queries stable and complex analysis fast. Learn more
Solutions

Industries

Apply proven observability practices to industry-specific systems and business goals.

Gaming Observe game servers, service dependencies, and player experience
Retail Connect store operations, transactions, and customer experience
Financial Services Protect transaction reliability, risk controls, and compliance
Automotive Observe connected vehicles, manufacturing systems, and digital services
Internet Optimize reliability and experience for high-traffic digital services
Manufacturing Connect production lines, equipment, and business systems
Public Sector Keep government platforms and public services reliable
Software and SaaS Support SaaS delivery, operations, and customer success

Use cases

Combine telemetry, experience, AI, and operations workflows to solve critical business problems.

Real-Time Business Monitoring Monitor infrastructure, applications, and business health together
Log Management and Analytics Collect, govern, query, and analyze logs
Real User Monitoring Reconstruct customer journeys and critical conversion paths
Digital Retail Connect stores, orders, and customer experiences
Unified Observability Correlate metrics, logs, traces, RUM, and events
Hybrid Cloud Monitoring Observe multi-cloud and on-premises resources together
LLM Observability Track model calls, cost, latency, and quality
Dedicated Hosted Observability Meet performance and compliance requirements with dedicated resources
Observability Data Gateway Govern telemetry ingestion across sources
DevOps Observability Connect delivery, releases, and reliability workflows
IoT Monitoring Observe device connectivity, messaging, and edge services
SAP Monitoring Connect SAP applications, hosts, and databases
Data Visualization Turn metrics and business data into decision-ready dashboards

Technology

Integrate major cloud platforms, cloud-native systems, and open standards without replacing your existing stack.

Amazon Web Services Collect metrics and events from AWS services
Tencent Cloud Monitor Tencent Cloud resources and managed services
Huawei Cloud Monitor Huawei Cloud services and resources centrally
Kubernetes Monitoring Monitor clusters, Pods, nodes, and workloads
Alibaba Cloud Collect telemetry from Alibaba Cloud services and resources
OpenTelemetry Collect traces and metrics with open standards
Microsoft Azure Monitor Azure resources and application dependencies

GuanceDB 3.1 Observability data infrastructure built for the AI era Learn more Dedicated Compute Dedicated resources keep high-concurrency queries stable and complex analysis fast. Learn more
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Product Overview Infrastructure Monitoring Database Monitoring Kubernetes Monitoring Network Performance Monitoring Log Monitoring and Analytics Log Management Application Performance Monitoring Real User Monitoring Mobile App Monitoring Session Replay Unified Catalog SIEM Cloud and Multi-Cloud Monitoring

Solution

Gaming Retail Financial Services Internet Services Automotive Manufacturing Real-Time Business Monitoring Unified Observability Log Management and Analytics Real User Monitoring Kubernetes Monitoring AWS Monitoring Hybrid Cloud Monitoring Data Visualization SAP Monitoring IoT Monitoring

Platform

Dashboards and Analytics GuanceDB Dedicated Compute Guance Notebooks Mobile App Integration Center DataKit Support Security and Trust

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培训认证

第三章数据集成

产 产品技术专家 2024-11-29 · 3 min read

On this page

3.1 DataKit安装与配置
3.2 监控数据集成（一）：主机、容器和网络
3.3 监控数据集成（二）：中间件和数据库
3.4 监控数据集成（三）：云平台
3.4 附-DCA简介
3.5 采集常见问题诊断
3.6 课程总结

第三章数据集成

3.1 DataKit安装与配置

Put it into practice

Want to validate this approach with your own data?

Connect one service and investigate metrics, logs, traces, and events in a shared context.

Start free → Talk to an expert

3.2 监控数据集成（一）：主机、容器和网络

3.3 监控数据集成（二）：中间件和数据库

3.4 监控数据集成（三）：云平台

3.4 附-DCA简介

3.5 采集常见问题诊断

3.6 课程总结

产

About the author 产品技术专家

产品技术专家 writes about observability and software engineering, with a focus on practical production scenarios.

Validate it with real telemetry

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Start with one real service. Correlate metrics, logs, traces, events, and user experience in one context, then see whether the investigation path becomes shorter and clearer.

Correlated telemetry
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